GECOS (Geothermal Energy Chance of Success) is a INNOSUISSE funded project which focusses on deep geothermal exploration and development of geothermal UTES projects and is based on three main pillars:
Reduction of subsurface uncertainty

Acquisition of cost-effective, quick and high resolution geophysical data such as 3D DAS VSP, S-waves seismic and high resolution gravity can help to improve the understanding of the subsurface. invisibletext

Mitigation of the risk invisibletext

Geostatistical and machine learning approach are perfectly shaped to integrate and analyse different types of geodata to lower the uncertainty and mitigate the risk of developing geothermal energy projects.

Reduction of the costs invisibletext

New high-resolution acquisition and integration of data form different sources using novatory methods such machine learning are allows to reduce the costs of developing geothermal projects. invisibletext


Early stage workflow

This workflow can be replicated at any stage of a geothermal project. At the early stages when only scarce data are available, during exploration when new data will be collected and when new large investiments (i.e. 3D seismic and drilling) need to be planned.

Production stage workflow

This workflow can also be replicated during production to monitor the reservoir and eventually design new drilling operations.


GECOS web app

Explore the data density and GECOS index density map over the Geneva Canton.


Available documents

The following documents are the pre-final versions of the deliverables of the GECOS project contain confidential and proprietary business information of the GECOS team. These materials is protected by a password. Please contact us if you are interested on the documents.

  • Gravity

    The final goal of this workpackage of the GECOS project is to produce a 3D density model, which uncertainty will be quantified in combination to the 3D geological model of the study area and to the other geophysical surveys planned.

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  • Vertical Seismic Profiling

    The main goal of this workpackage was to clarify the potential of Distributed Acoustic Sensing (DAS) as an alternative to conventional geophone acquisition for geothermal site characterization complementing gravity and surface seismic acquisition.

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  • 3D modeling

    The 3-D geological models developed in this workpackage will be used as input for further static and numerical dynamic models to predict the potential of geothermal production in the area. Importantly, our findings highlight the need for subsurface data augmentation in the Geneva Basin and elsewhere in Swiss Plateau which represent promising areas for geothermal exploration.

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  • Uncertainty analyisis

    The analyisis developed in this workpackage allow to generate stochastic realizations of the 3D structure model, which can be populated with reservoir properties allowing to better quantify the subsurface uncertainty.

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  • Chance of Succes analysis

    In the framework of GECOS the COS for geothermal developments focused on the Geneva Canton and on the Mesozoic carbonates of the Lower Cretaceous and Upper Jurassic which are, at present, the main subsurface geothermal target for the Services Industriels de Geneve, which is one of the two project implementation partners leading the Geothermies program aiming ad implementing geothermal project for heating & cooling applications.

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  • Web application

    The GECOS web application allow to quantifiy the data density and the geothermal chance of success (GECOS) index over the Geneva Canton. This report briefly explain the technologies and the methodology used to build the app.

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  • Background Image

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    and GECOS webapp?

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© GECOS 2018- 2021. All rights reserved.
GECOS is a INNOSUISSE supported project no. 26728.1 PFIW-IW